Qualcomm Tenstorrent acquisition talks value the RISC-V AI chip startup at up to $10 billion — nearly triple its prior ...

Up until this moment, I've technically been "going around the houses" - I've purposely approached the subject in this manner to address a couple of headaches (which i'm more than aware of, given the ...

I've been writing about Android since 2011, with a focus on device reviews, Samsung and Google Pixel hardware, and the latest happenings in the ecosystem. In my entire writing career, I've reviewed ...

Steve was a Senior Writer at AP, where he covered over 40 smartphones a year. Steve has carried the latest and greatest around in his pocket for nearly 30 years, with everything from Motorola StarTACs ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Tensor's Robocar has been custom built for Level 4 autonomy. Most people agree that full autonomy will be a big part of the future of driving. The question is when. Tesla may have been making all the ...

Tensor was founded in Silicon Valley as AutoX back in 2016 and focused on building autonomous commercial vehicles and robotaxis. The company began testing autonomous vehicles in California and China ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Birgitta Böckeler, Distinguished Engineer at ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

If you've ever wondered why deep learning frameworks like PyTorch and TensorFlow insist on using tensors instead of good old NumPy arrays, you're not alone. On the surface, they look almost ...